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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

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Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to NLP FREE CHAPTER 2. Finding Parts of Text 3. Finding Sentences 4. Finding People and Things 5. Detecting Part of Speech 6. Representing Text with Features 7. Information Retrieval 8. Classifying Texts and Documents 9. Topic Modeling 10. Using Parsers to Extract Relationships 11. Combined Pipeline 12. Creating a Chatbot 13. Other Books You May Enjoy

Creating a pipeline to search text


Searching is a rich and complex topic. There are many different types of searches and approaches to perform a search. The intent here is to demonstrate how various NLP techniques can be applied to support this effort. A single text document can be processed at one time in a reasonable time period on most machines. However, when multiple large documents need to be searched, then creating an index is a common approach to support searches. This results in a search process that completes in a reasonable period of time. We will demonstrate one approach to create an index and then search using the index. Although the text we will use is not that large, it is sufficient to demonstrate the process. We need to do the following:

  • Read the text from the file
  • Tokenize and find sentence boundaries
  • Remove stop words
  • Accumulate the index statistics
  • Write out the index file

There are several factors that influence the contents of an index file, including:

  • Removal of stop words...
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